DBMS > Alibaba Cloud Table Store vs. Graph Engine vs. StarRocks vs. YTsaurus

System Properties Comparison Alibaba Cloud Table Store vs. Graph Engine vs. StarRocks vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

A fully managed Wide Column Store for large quantities of semi-structured data with real-time access

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Wide column store

Graph DBMS
Key-value store

Relational DBMS

Document store
Key-value store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.31
Rank	#297	Overall
	#11	Wide column stores

Score	0.67
Rank	#232	Overall
	#21	Graph DBMS
	#34	Key-value stores

Score	0.93
Rank	#198	Overall
	#93	Relational DBMS

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

www.alibabacloud.com/product/table-store

www.graphengine.io

www.starrocks.io

ytsaurus.tech

Technical documentation

www.alibabacloud.com/help/en/tablestore

www.graphengine.io/docs/manual

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

ytsaurus.tech/docs/en

Developer

Alibaba

Microsoft

The Linux Foundation

since Feb 2023

Yandex

Initial release

2016

2010

2020

2023

Current release

2.5.3, March 2023

License

Commercial or Open Source

commercial

Open Source

MIT License

Open Source

Apache Version 2.0

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

.NET and C

C++, Java

C++

Server operating systems

hosted

.NET

Linux

Ubuntu

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

YQL, an SQL-based language, is supported

APIs and other access methods

HTTP API

RESTful HTTP API

JDBC
MySQL protocol

Supported programming languages

Java
Python

C#
C++
F#
Visual Basic

Java

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

horizontal partitioning

horizontal partitioning (by range and hash)

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic single-row operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights based on subaccounts and tokens

Role based access control and fine grained access rights

Access Control Lists

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